Evidence map›Paper›PMID 22304365›Full record

ArticleJournal of cellular and molecular medicine2012

A logistic model for the detection of circulating tumour cells in human metastatic colorectal cancer.

Jorge Barbazán, María Vieito, Alicia Abalo, Lorena Alonso-Alconada, Laura Muinelo-Romay, Marta Alonso-Nocelo, Luís León, Sonia Candamio, Elena Gallardo, Urbano Anido and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 2 countries.

Jorge BarbazánTranslational Laboratory, Medical Oncology Department, Complexo Hospitalario Universitario de Santiago de Compostela/SERGAS, Santiago de Compostela, Spain.
María Vieito
Alicia Abalo
Lorena Alonso-Alconada
Laura Muinelo-Romay
Marta Alonso-Nocelo
Luís León
Sonia Candamio
Elena Gallardo
Urbano Anido
Andreas Doll
María de los Ángeles Casares
Antonio Gómez-Tato
Miguel Abal
Rafael López-López
Complejo Hospitalario Universitario de Santiago · ESUniversidade de Santiago de Compostela · ESHebron University · PS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accuracy in the diagnosis of metastatic colorectal cancer (mCRC) represents one of the challenges in the clinical management of patients. The detection of circulating tumour cells (CTC) is becoming a promising alternative to current detection techniques, as it focuses on one of the players of the metastatic disease and it should provide with more specific and sensitive detection rates. Here, we describe an improved method of detection of CTC from mCRC patients by combining immune-enrichment, optimal purification of RNA from very low cell numbers, and the selection of accurate PCR probes. As a result, we obtained a logistic model that combines GAPDH and VIL1 normalized to CD45 rendering powerful results in the detection of CTC from mCRC patients (AUROC value 0.8599). We further demonstrated the utility of this model at the clinical setting, as a reliable prognosis tool to determine progression-free survival in mCRC patients. Overall, we developed a strategy that ameliorates the specificity and sensitivity in the detection of CTC, resulting in a robust and promising logistic model for the clinical management of metastatic colorectal cancer patients.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorColorectal NeoplasmsDisease-Free SurvivalEpithelial CellsFemaleHumansLeukocyte Common AntigensLogistic ModelsMaleMicrofilament ProteinsMiddle AgedNeoplastic Cells, CirculatingPrognosisBiomarkers, TumorLeukocyte Common AntigensMicrofilament ProteinsPTPRC protein, humanVIL1 protein, human

Identifiers

PMID22304365
PMCPMC3823427
OpenAlexW2136210739

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.